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Creating Agents with Tunable Behaviours using Multi-Objective Deep Reinforcement Learning
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Reinforcement learning for combinatorial optimization over directed graphs
Fast Kolmogorov-Arnold Network in JAX, initial experiments
Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
Standard interface for entity based reinforcement learning environments.
Going on an RL Journey from DQN to Bigger, Better, Faster
Lightweight multi-agent gridworld Gym environment
Bot Framework provides the most comprehensive experience for building conversation applications.
A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)
Godot implementation of important RL algorithms with a gridworld environment for visualization
Intrinsic Motivation from Artificial Intelligence Feedback
Software for modeling circuit theory-based connectivity
2D, 3D & VR experiments and tutorials in Godot 3 & 4
Calinou / awesome-godot
Forked from godotengine/awesome-godotA curated list of free/libre plugins, scripts and add-ons for Godot
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
A reinforcement learning environment for the IGLU 2022 at NeurIPS
Code for the paper "Quantifying Transfer in Reinforcement Learning"
implementation of MADDPG using PettingZoo and PyTorch
implementation of MADDPG using PyTorch and multiagent-particle-envs
Automatically literature survey/review with GPT! An intelligent research assistant leveraging GPT-3.5 /GPT-4 to find, analyze, and rank relevant academic papers from Google Scholar based on user-pr…